Embedding VC
Director of Education
New York, NY · Director
Sponsorship not specifiedDetected 79 days ago
Figma
About the role
- Once a tool becomes core curriculum, it becomes the default-self-reinforcing across students, companies, and institutions.
Responsibilities
- Design and execute a repeatable playbook for adopting FLORA within art and design schools-starting with professors, expanding to departments, and culminating in institution-wide adoption
- Build trusted relationships with influential professors and program leaders
- Lead negotiations for department- or school-wide access, including pilots, discounts, and long-term partnerships
Requirements
- You know the difference between teaching tools and shaping how creatives think
- You are comfortable being accountable for outcomes, not just activity
Nice to have
- Nice to Have (but Not Required)
Skills
- what tools students learn
- what workflows feel "professional"
- what skills become table stakes in the job market
- Students get the scaffolding they need to learn a powerful new creative medium
- Creative careers are changing fast, and many students are graduating without the skills the industry now expects
- This role helps close that gap by bringing real, professional creative systems into education
- Education is the strategic chokepoint for creative tools.
Benefits
- Position FLORA as essential professional infrastructure for modern creative education-not a novelty tool
- Oversee the creation and curation of off-the-shelf teaching resources, example syllabi, and learning materials that lower adoption friction
Company info
- an infinite canvas designed for the generative computing paradigm.
- We're a team of ~45 focused on elevating professional craft, backed by tier-one investors including Redpoint, Menlo Ventures, and a16z, as well as founders like Guillermo Rauch and Justin Kan.
- Our platform is already the choice of world-class creative powerhouses like Pentagram, Lionsgate, and Nike.
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This listing is sourced directly from Embedding VC's careers page and normalized into a canonical job model.